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Built a Retrieval-Augmented Generation backend using LangChain and Qdrant: PDF upload and chunking, embedding generation, semantic search, and answer synthesis with inline page-level citations. Diagnosed and fixed a silent fallback bug where missing LLM credentials caused raw chunk dumps instead of real generated answers, then migrated the chat backend to Groq (LLaMA 3.3 70B) for fast, free-tier inference. Supports multi-document querying and follow-up question rewriting for conversational retrieval.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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I'm putting DoNotify (Voice Call Reminders) up on Product Hunt today.
A few months back I missed a time-sensitive WooCommerce order because it landed in an inbox already buried under 200 unread emails. Email and SMS are easy to snooze. A phone ringing isn't.
So I built a small WordPress plugin that does one thing: it calls you, the site owner, when something needs your attention. A new order, a completed order, a failed payment, a new booking through WooCommerce Bookings or Amelia. Developers can wire up their own triggers too, with a single hook: do_action('donotify_call', 'New VIP lead').
The plugin itself is free on WordPress. org. Placing the actual calls needs a DoNotify account with an active subscription.
Right now it calls the store owner. Calling customers directly, for appointment reminders or delivery updates, is next on the list.
If you run WooCommerce or take bookings through WordPress and want to know the second something happens, I'd like you to try it and tell me what's missing.
Link in the comments. An upvote helps more than you'd think, and I'm reading every comment today.
Customer support teams burn most of their time answering the same handful of questions over and over. This agent takes that load off entirely: it understands what a customer is asking, pulls the accurate answer from your knowledge base using RAG, and holds context across the full conversation — not just a single reply.
The real value is in what it doesn't do. When a query falls outside what it can confidently resolve, it hands off to a human cleanly instead of guessing or looping the customer in circles — so support quality holds up even on the edge cases.
Built on LangGraph and LangChain for the reasoning layer, FastAPI for the backend, giving support teams a first line of response that's fast, accurate, and honest about its own limits.
I built a constellation map you don’t click - you reach.
Wave to drift through the sky. Pinch to pull a star closer. Your hands become the interface, and for a second it stops feeling like a website and starts feeling like looking up at night.
The aha moment: the best interaction isn’t the cleverest one - it’s the one that disappears. No buttons. No tutorial. Just motion that feels obvious the first time you try it. That’s the bar I hold for product work too: luxury audiences don’t want to learn your UI. They want to trust it instantly.
Built in a day with MediaPipe + AI prototyping - less a “finished product,” more a design experiment: can gesture feel calm instead of gimmicky? (Spoiler: yes, when you design for the pause between movements, not the wow.)
For clients: this is how I test bold ideas fast - before weeks of screens. For designers: proof that your weirdest side project might teach you more than your safest case study.
Very cool🙌 🔥
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